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LinkAffix

Paid
★ 1 • Updated Jul 10, 2026, 09:13 AM

LinkAffix is a monetization API that automatically injects tracked affiliate links into AI-generated text, enabling developers to earn commission from product recommendations made by large language models (LLMs).

Use Cases ▼
01

Monetizing product recommendations in AI-powered chatbots

02

Injecting affiliate links into LLM-generated content for publishing platforms

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Enabling commission earnings from AI-written reviews and buying guides

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Adding tracked shopping links to streaming AI text output in real-time

05

Building AI shopping advisors with built-in revenue sharing

06

Recovering revenue for content sites disrupted by AI search summaries

What Problem It Solves ▼

Traditional affiliate revenue models depend on users clicking web links, but AI-generated answers increasingly satisfy queries without clicks, rendering those models obsolete. LinkAffix solves this by embedding commission-earning links directly into LLM responses on the server side, enabling monetization of AI recommendations without requiring user redirection to publisher sites.

Key Features ▼
✓

No client-side changes required; seamless integration

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Privacy-first, cookieless server-side attribution

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Context-aware injection avoids irrelevant or spammy links

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Transparent revenue sharing with dashboard analytics

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Free tier available for testing and low-volume use

Overview

LinkAffix is a monetization API that automatically injects tracked affiliate links into AI-generated text, enabling developers to earn commission from product recommendations made by large language models (LLMs). The integration is server-side and requires only a single API call placed between the raw LLM output and the client, preserving the user experience without any client-side changes. The service uses context-aware matching to analyze query intent—category, purchase signals, budget—and selects relevant offers from a live inventory, only inserting links when appropriate. Attribution is fully server-side with first-party click IDs, avoiding reliance on cookies or JavaScript, and conversions are tracked through affiliate network webhooks. A dashboard provides campaign configuration, link management, and transparent revenue reporting with monthly payouts via a configurable attribution window.

Full Description ▼

Designed for the shift toward zero-click search and AI-mediated answers, LinkAffix addresses the breakdown of traditional web-based affiliate models. It serves publishers, AI application developers, and e-commerce platforms looking to recover or build revenue streams from LLM-powered interactions. The system supports any LLM or framework via a simple HTTP POST endpoint, with no SDK currently required. Planned integrations include major affiliate networks like Amazon PA API, CJ, and Rakuten, while the current version allows manual configuration of affiliate links. A free tier is available for testing, and the service is actively developing multi-touch attribution models.

Pros & Cons

Pros

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No client-side changes required; seamless integration

+

Privacy-first, cookieless server-side attribution

+

Context-aware injection avoids irrelevant or spammy links

+

Transparent revenue sharing with dashboard analytics

+

Free tier available for testing and low-volume use

Cons

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Limited to affiliate monetization only; not a general content tool

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Early stage with pending SDKs and network integrations

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Relies on the accuracy of LLM output for conversion potential

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Revenue depends on affiliate network terms and user purchases

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Currently requires manual configuration of affiliate links

Similar Tools

VigLink (Sovrn) Skimlinks Amazon Product Advertising API CJ Affiliate Rakuten Advertising

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